Robust Deadbeat Control via Minimization of L2- and L∞-Induced Norms

This paper is concerned with robust deadbeat control of sampled-data systems. The robustness in this paper is measured with L2- and L∞-induced norms, which are known to be useful for measuring robustness of sampled-data systems. The problems considered here are to find deadbeat controllers which min...

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Bibliographic Details
Published inShisutemu Seigyo Jouhou Gakkai rombunshi Vol. 10; no. 5; pp. 259 - 266
Main Author NOBUYAMA, Eitaku
Format Journal Article
LanguageJapanese
English
Published THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE) 1997
Subjects
convex problem
deadbeat control
induced norm
robustness
sampled-data system
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Summary:This paper is concerned with robust deadbeat control of sampled-data systems. The robustness in this paper is measured with L2- and L∞-induced norms, which are known to be useful for measuring robustness of sampled-data systems. The problems considered here are to find deadbeat controllers which minimize L2- and L∞-induced norms while achieving deadbeat settling with prescribed settling steps. It is shown that the problems can be reduced to some convex problems which can be solved numerically. A simple example is also presented to justify the usefulness of the proposed method
ISSN:1342-5668
2185-811X
DOI:10.5687/iscie.10.259